Pradeeban Kathiravelu, Ph.D.

Pradeeban Kathiravelu, Ph.D.

Assistant Professor of Computer Science

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publications

A DICOM Framework for Machine Learning and Processing Pipelines Against Real-time Radiology Images

Published in Journal of Digital Imaging (JDI), 2021

This paper presents the architecture of Niffler DICOM framework.

Citation: Kathiravelu, P., Sharma, P., Sharma, A., Banerjee, I., Trivedi, T., Purkayastha, S., Sinha, P., Cadrin-Chenevert, A., Safdar, N., and Gichoya, J. A DICOM Framework for Machine Learning Pipelines against Real-Time Radiology Images. In Journal of Digital Imaging (JDI). 34(4), 1005-1013. August 2021. https://doi.org/10.1007/s10278-021-00491-w

Towards an Internet-Scale Overlay Network for Latency-Aware Decentralized Workflows at the Edge

Published in Elsevier Computer Networks, 2022

This paper presents Viseu, Virtual Internet Services at the Edge, a utility based on a decentralized Blockchain architecture.

Citation: Kathiravelu, P., Zaiman, Z., Gichoya, J., Veiga, L., and Banerjee, I. Towards an Internet-Scale Overlay Network for Latency-Aware Decentralized Workflows at the Edge. In Computer Networks (COMNET). 203, 108654. February 2022. https://doi.org/10.1016/j.comnet.2021.108654

CONTROL-CORE: A Framework for Simulation and Design of Closed-Loop Peripheral Neuromodulation Control Systems

Published in IEEE Access, 2022

This paper presents the CONTROL-CORE framework for the design and simulation of neuromodulation control systems.

Citation: Kathiravelu, P., Arnold, M., Fleischer, J., Yao, Y., Awasthi, S., Goel, A. K., Branen, A., Sarikhani, P., Kumar, G., Kothare, M. V., and Mahmoudi, B. CONTROL-CORE: A Framework for Simulation and Design of Closed-Loop Peripheral Neuromodulation Control Systems. In IEEE Access. 10, 36268-36285. March 2022. https://doi.org/10.1109/ACCESS.2022.3161471

Visualizing Scanner Utilization from MRI Metadata and Clinical Data

Published in IEEE Computer Magazine, 2023

This paper visualizes the MRI scanner utilization using DICOM metadata retrieved via Niffler, leveraging the dashboards developed with Eaglescope.

Citation: Kathiravelu, P., Li, N., Singi, N., Bhimireddy, A., Birmingham, R., Gichoya, J., Trivedi, H., Safdar, N., Sharma, A., and Sharma, P. Visualizing Scanner Utilization from MRI Metadata and Clinical Data. In IEEE Computer. 56(8), 68-76. August 2023. https://doi.org/10.1109/MC.2022.3228107

The Telehealth Dilemma - Healthcare Deserts Meet Internet's Remote Regions

Published in IEEE Computer Magazine. Special Issue on Computing in Telemedicine, 2023

Telehealth has increased healthcare and specialist access to patients in healthcare deserts, the regions with limited healthcare. Telehealth provides healthcare to patients remotely, connecting them from their homes or community clinics to healthcare practitioners in remote sites, typically through the Internet. Therefore, stable Internet access is a deciding factor for telehealth. We observe the internet latency's relation to healthcare deserts as preliminary work toward evaluating disparities in telehealth in practice.

Citation: Kathiravelu, P., Fonović, D., Grbac, T. G., Zaiman, Z., Veiga, L., Gichoya, J., Purkayastha, S., and Mahmoudi. B. The Telehealth Dilemma – Healthcare Deserts Meet Internet's Remote Regions. In IEEE Computer. 56(9), 39-49. August 2023. https://doi.org/10.1109/MC.2023.3252945

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